Data Scientist - Pricing
Head Office- Melbourne, Australia
AUD 64K-65K (estimate) Mid-level Full Time
Tasks
- Analyze large datasets
- Build pricing science models
- Collaborate with product finance digital and category teams
- Create stakeholder ready data narratives
- Create valuation analytics
- Design dynamic pricing strategies
- Develop demand forecasting models
- Develop explainable analytical solutions
- Ensure model governance and explainability
- Identify premium collectible assets
- Perform demand optimization
- Translate insights into revenue impact
Perks/Benefits
- Discounts to retailers
- Family friendly practices
- Fitness passport
- Flexible working arrangements
- Paid parental leave
- Professional development opportunities
- Salary packaging
Skills/Tech-stack
Data Visualization | Demand forecasting | Dynamic Pricing | Explainable AI | Language Processing | Machine Learning | Model Governance | Natural Language | Natural Language Processing | NumPy | Pandas | Python | SQL | Scikit-learn | Series forecasting | Statistical modeling | Time Series | Time Series Forecasting
Education
Roles
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